Tim Niemueller

584 citations
12 papers · 187 · h-index 7

Impact in

Papers in

Tim Niemueller

11 papers receiving 179 citations

Peers

Tim Niemueller
Comparison fields: 5 of 41
  • Software 17
  • Control and Systems Engineering 79
  • Computer Vision and Pattern Recognition 63
  • Artificial Intelligence 88
  • Industrial and Manufacturing Engineering 17
Replace Humbert Fiorino with:
Humbert Fiorino France
Damien Pellier France
Masoumeh Mansouri United Kingdom
Ishika Singh United States
Matteo Iovino Sweden
Francesco Rovida Denmark
Moritz Göbelbecker Germany
Suraj Nair United States
Fabien Gravot Japan
Yoichiro Endo United States
Tim Niemueller relative to Humbert Fiorino France Humbert Fiorino's profile →
Citations per field
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Citations per year

Countries citing papers authored by Tim Niemueller

Since Specialization
Citations

This map shows the geographic impact of Tim Niemueller's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Tim Niemueller with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Tim Niemueller more than expected).

Fields of papers citing papers by Tim Niemueller

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Tim Niemueller. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Tim Niemueller. The network helps show where Tim Niemueller may publish in the future.

Co-authors

The 18 scholars most cited alongside Tim Niemueller, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Tim Niemueller Line = papers co-authored together Tim Niemueller links everyone, so they are left out of the graph.

All Works

12 of 12 papers shown
#Work
1 201286
2 201230
3
Incremental Task-Level Reasoning in a Competitive Factory Automation Scenario
201315
4 201813
5 20169
6 20189
7 20198
8 20176
9
Lessons Learnt from Developing the Embodied AI Platform CAESAR for Domestic Service Robotics.
20134
10 20164
11 20213
12
BendIT { An Interactive Game with two Robots
20120

About Tim Niemueller

Tim Niemueller is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition, Control and Systems Engineering, Computational Theory and Mathematics and Aerospace Engineering, having authored 12 papers that have together received 187 indexed citations. Recurring topics across this work include AI-based Problem Solving and Planning (6 papers), Multi-Agent Systems and Negotiation (5 papers), Logic, Reasoning, and Knowledge (3 papers), Robotics and Sensor-Based Localization (2 papers), Advanced Manufacturing and Logistics Optimization (2 papers), Modular Robots and Swarm Intelligence (2 papers), Formal Methods in Verification (2 papers) and Robotic Path Planning Algorithms (2 papers). The work is most often cited by research in Software (17 citations), Control and Systems Engineering (79 citations), Computer Vision and Pattern Recognition (63 citations), Artificial Intelligence (88 citations) and Industrial and Manufacturing Engineering (17 citations). Tim Niemueller has collaborated with scholars based in Germany, United States and Italy. Frequent co-authors include Gerhard Lakemeyer, Siddhartha S Srinivasa, Maya Çakmak, Anca D. Dragan, Alvaro Collet, Kyle Strabala, Ross A. Knepper, Julius Ziegler, Dmitry Berenson and Mehmet R. Doğar. Their work appears in journals such as Information Systems Frontiers, Proceedings of the IEEE, KI - Künstliche Intelligenz, Proceedings of the AAAI Conference on Artificial Intelligence and Proceedings of the International Conference on Automated Planning and Scheduling.

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

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